Savithri Ramurthy

2.0k citations
17 papers · 419 · h-index 12

Impact in

Papers in

    • Melanoma and MAPK Pathways 9
    • Protein Kinase Regulation and GTPase Signaling 3
    • Glycosylation and Glycoproteins Research 2
    • Chemical Synthesis and Analysis 2

Savithri Ramurthy

17 papers receiving 398 citations

Peers

Savithri Ramurthy
Comparison fields: 5 of 56
  • Organic Chemistry 196
  • Computational Theory and Mathematics 92
  • Molecular Biology 290
  • Oncology 84
  • Toxicology 10
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Li‐Hsing Chen United States
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Citations per year

Countries citing papers authored by Savithri Ramurthy

Since Specialization
Citations

This map shows the geographic impact of Savithri Ramurthy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Savithri Ramurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Savithri Ramurthy more than expected).

Fields of papers citing papers by Savithri Ramurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Savithri Ramurthy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Savithri Ramurthy. The network helps show where Savithri Ramurthy may publish in the future.

Co-authors

The 25 scholars most cited alongside Savithri Ramurthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Savithri Ramurthy Line = papers co-authored together Savithri Ramurthy links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200873
2 200660
3 201554
4 201535
5 201425
6
CHIR-265 is a potent selective inhibitor of c-Raf/B-Raf/mutB-Raf that effectively inhibits proliferation and survival of cancer cell lines with Ras/Raf pathway mutations
200621
7 199819
8 199619
9 201918
10 201117
11 201117
12 199413
13 199312
14 201411
15 201911
16 201810
17
The synthesis of enantiomerically pure, highly functionalized heterocycles: the products of amino acid based acylnitroso hetero Diels-Alder reactions.
19974

About Savithri Ramurthy

Savithri Ramurthy is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Pathology and Forensic Medicine and Computational Theory and Mathematics, having authored 17 papers that have together received 419 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (9 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer Mechanisms and Therapy (3 papers), Glycosylation and Glycoproteins Research (2 papers), Computational Drug Discovery Methods (2 papers), Chemical Synthesis and Analysis (2 papers), HER2/EGFR in Cancer Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Organic Chemistry (196 citations), Computational Theory and Mathematics (92 citations), Molecular Biology (290 citations), Oncology (84 citations) and Toxicology (10 citations). Savithri Ramurthy has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Sharadha Subramanian, Abran Costales, Marvin J. Miller, Cynthia M. Shafer, Paul A. Renhowe, Johanna M. Jansen, Barry H. Levine, Payman Amiri, Sylvia Ma and Darrin D. Stuart. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry, The Journal of Organic Chemistry and Bioorganic & Medicinal Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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